Demo

Solutions Architect (Knowledge Graph)

HCLTech
San Jose, CA Full Time
POSTED ON 5/31/2026
AVAILABLE BEFORE 6/26/2026

HCLTech is looking for a highly talented and self- motivated Knowledge Graph Architect to join it in advancing the technological world through innovation and creativity.



Job Title: Knowledge Graph Architect

Job ID: 113905

Position Type: Full-time

Location: Onsite: San Jose, CA


Role/Responsibilities:

We are seeking an experienced Knowledge Graph Architect / Lead to design and implement enterprise ontology, taxonomy, and semantic modeling capabilities. This role will help build AI-ready Knowledge Graph solutions that enable contextual understanding, semantic search, intelligent querying, and governed enterprise data consumption. The ideal candidate will work closely with Data Engineering, Governance, AI/ML, and Application teams to deliver scalable and secure semantic data platforms.


Tech Stack Experience Required

  • Experience with Google Cloud Platform (GCP), enterprise cloud platforms, and scalable distributed data environments.
  • Experience with graph databases, RDF, OWL, SPARQL, Cypher, semantic web technologies, ontology frameworks, and semantic modeling platforms.
  • Experience with Enterprise Knowledge Graphs, Enterprise Data Catalogs, metadata management, lineage, semantic enrichment, and governance frameworks.
  • Experience with Python, Java, REST APIs, graph APIs, and enterprise integration services.
  • Experience with GKE, Docker, Kubernetes, IAM, and secure enterprise data environments.


Key Responsibilities

  • Define and design enterprise ontology, taxonomy, and semantic models.
  • Architect and implement Knowledge Graph structures including entities, relationships, hierarchies, and semantic mappings.
  • Map business entities into graph-based semantic models.
  • Design RDF and graph data models, ontology frameworks, and semantic relationships to enable AI-ready contextual understanding.
  • Develop and manage graph ingestion, semantic enrichment, lineage, and relationship modeling processes.
  • Integrate Knowledge Graph capabilities with Enterprise Data Catalogs, data pipelines, APIs, and AI/ML agents for semantic search and intelligent querying.
  • Enable graph analytics, reasoning, inference, and contextual data discovery using graph technologies and ontology standards.
  • Define standards and best practices for semantic modeling, ontology governance, and Knowledge Graph lifecycle management.
  • Ensure semantic layer and graph access align with governance and Data Security Framework controls.
  • Support integration using graph database technologies, SPARQL/Cypher queries, Java/Python APIs, and semantic web technologies.
  • Collaborate with engineering, governance, architecture, and AI teams to deliver scalable and governed semantic data solutions.


Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
  • Strong experience designing ontology, taxonomy, semantic models, and Knowledge Graph solutions.
  • Experience with graph data modeling, semantic mapping, RDF, ontology frameworks, and graph query languages.
  • Experience integrating Knowledge Graph solutions with enterprise data platforms, APIs, and governance frameworks.
  • Experience with metadata, lineage, semantic enrichment, and AI-ready data enablement.
  • Strong analytical, architecture, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities.


Preferred Qualifications:

  • Experience with enterprise semantic search, graph analytics, reasoning, and inference capabilities.
  • Experience supporting AI-ready enterprise data platforms and semantic enablement initiatives.
  • Experience working in governed and regulated enterprise data environments.


Pay and Benefits

Pay Range Minimum: $84,000 per year

Pay Range Maximum: $202,000 per year


HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.


Compensation and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.


How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Salary : $88,000 - $202,000

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